Results 191 to 200 of about 563,010 (309)

SCCGs_Prediction: a machine learning tool for prediction of sulfur-containing compound associated genes

, 2023
Shuang He, Liu E, Fei Chen, Zhidong Li
openalex   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

Molecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung, David Bickel, Lena C. M. Krause, Daria Ezeriņa, Christian Ickes, Julian Wojtachnia, Christine S. Gibhardt, Magdalena Shumanska, Khadija Wahni, Andrea Paluschkiwitz, Julia Malo Pueyo, Ekaterina Baranova, Wim Vranken, Hedwig Stanisz, Ioana Stejerean‐Todoran, Michael P. Schön, Joris Messens, Ivan Bogeski   +17 more
wiley   +1 more source

Conditional QTL mapping for seed germination and seedling traits under salt stress and candidate gene prediction in wheat. [PDF]

Sci Rep, 2022
Guo X, Wu C, Wang D, Wang G, Jin K, Zhao Y, Tian J, Deng Z.   +7 more
europepmc   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction. [PDF]

BMC Biol
Yan W, Yu F, Tan L, Mengshan L, Xiaojun X, Weihong Z, Sheng S, Jun W, Fu-An W.   +8 more
europepmc   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Tiberius: end-to-end deep learning with an HMM for gene prediction. [PDF]

Bioinformatics
Gabriel L, Becker F, Hoff KJ, Stanke M.
europepmc   +1 more source

Balrog: A universal protein model for prokaryotic gene prediction. [PDF]

PLoS Comput Biol, 2021
Sommer MJ, Salzberg SL.
europepmc   +1 more source

Molecular Subtyping of Hepatocellular Carcinoma via Lysosome-Related Genes for Prognosis and Therapy Prediction

Yiyang Yao, Tong Zhu, Xiaoyi Shen, Junyong Ma, Xudong Zhu, Jie Jiang   +5 more
openalex   +2 more sources

scPRINT: pre-training on 50 million cells allows robust gene network predictions [PDF]

Jérémie Kalfon, Jules Samaran, Gabriel Peyré, Laura Cantini   +3 more
openalex   +1 more source